Left, Right, and Gender : Exploring Interaction Traces to Mitigate Human Biases
Human biases impact the way people analyze data and make decisions. Recent work has shown that some visualization designs can better support cognitive processes and mitigate cognitive biases (i.e., errors that occur due to the use of mental "shortcuts"). In this work, we explore how visual...
Ausführliche Beschreibung
Bibliographische Detailangaben
| Veröffentlicht in: | IEEE transactions on visualization and computer graphics. - 1996. - 28(2022), 1 vom: 01. Jan., Seite 966-975
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| 1. Verfasser: |
Wall, Emily
(VerfasserIn) |
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| Weitere Verfasser: |
Narechania, Arpit,
Coscia, Adam,
Paden, Jamal,
Endert, Alex |
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| Format: | Online-Aufsatz
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| Sprache: | English |
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| Veröffentlicht: |
2022
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| Zugriff auf das übergeordnete Werk: | IEEE transactions on visualization and computer graphics
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| Schlagworte: | Journal Article
Research Support, Non-U.S. Gov't
Research Support, U.S. Gov't, Non-P.H.S. |
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